Triple

T18340128
Position Surface form Disambiguated ID Type / Status
Subject House of Brandenburg-Ascania E439377 entity
Predicate hasTerritorialBase P21614 FINISHED
Object Stendal NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Stendal | Statement: [House of Brandenburg-Ascania, hasTerritorialBase, Stendal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stendal
Context triple: [House of Brandenburg-Ascania, hasTerritorialBase, Stendal]
  • A. Stendal chosen
    Stendal is a historic town in the German state of Saxony-Anhalt, known as a regional cultural center and the birthplace of art historian Johann Joachim Winckelmann.
  • B. Staßfurt
    Staßfurt is a town in Saxony-Anhalt, Germany, historically known for its salt mining and chemical industry.
  • C. Zerbst
    Zerbst is a historic town in Saxony-Anhalt, Germany, known as the birthplace of Catherine the Great and for its former role as a princely residence.
  • D. Zerbst
    Zerbst is a party in the landmark U.S. Supreme Court case Johnson v. Zerbst, which established the federal constitutional right to counsel for indigent defendants in criminal prosecutions.
  • E. Riedenburg
    Riedenburg is a small Bavarian town in southern Germany known for its scenic location in the Altmühl Valley and its historic castles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ed146fc819092b08cb91defb03b completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:37 a.m.